Nonlinear structural control using integrated DDA/ISMP and semi-active tuned mass damper

Karami, Kaveh; Manie, Salar; Ghafouri, Khatib; Nagarajaiah, Satish

doi:10.1016/j.engstruct.2018.12.059

Cited by 32 publications

(25 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These are active, semi-active, and hybrid systems. [57] While active systems can effectively mitigate most of the disadvantages of conventional TMDs, with considerable recent improvements in their control algorithms to improve their response, [58][59][60][61][62][63][64][65][66] they typically result in a higher cost and require a large source of external power, which makes them less reliable and practical. To overcome this last detriment, semi-active systems are devised to require only a minimum amount of external energy.…”

Section: Conventional Approachesmentioning

confidence: 99%

An integrated damping system for tall buildings

Martinez-Paneda

Elghazouli

2020

Structural Design Tall Build

View full text Add to dashboard Cite

Summary This paper proposes an integrated damping system that aims at providing relatively high damping levels through the mobilization of a proportion of the structure's own mass. This offers significantly higher mass levels and, consequently, considerably more damping compared to conventional tuned mass dampers. Fluid viscous dampers are used to control accelerations in parallel with springs to resist the static loads applied to the moving mass. The advantages of employing relatively large mass levels in achieving considerable damping and reducing sensitivity to tuning are first analyzed using an idealized two degree of freedom structural representation. This is then followed by a description of the proposed “integrated damping system,” which is illustrated through a case study of a 250‐m tall building. The benefits of the proposed damping system are demonstrated through several numerical parametric assessments, as well as a selected suite of earthquake records. For the adopted case study, it is shown that, besides reducing the level of perceivable accelerations, the use of the suggested arrangement can offer an equivalent damping exceeding 50% of the critical damping, resulting in more than 40% reduction in the wind loads as well as over 60% reduction in displacement and acceleration response under seismic excitations.

show abstract

Section: Conventional Approachesmentioning

confidence: 99%

An integrated damping system for tall buildings

Martinez-Paneda

Elghazouli

2020

Structural Design Tall Build

View full text Add to dashboard Cite

show abstract

“…As defined in section 3.2, is a design parameter that can be set to penalize the corresponding state of the structure. By substituting (17) and (18) into (13), H U is determined by solving the following updated Riccati equation:…”

Section: 3mentioning

confidence: 99%

“…The identified stiffness matrix of the structure is constructed using the identified stiffness coefficients at T id . Subsequently, the matrixQ in Equation (17) and the matrixÂ in Equation (18) are reconstructed using the identified stiffness matrix (K). It is worthwhile to mention that the parameter ρ in the Equation 17is selected as 7.…”

Section: Example 1: 20-story Shear-type Framementioning

confidence: 99%

“…15 He et al 16 explored the possibility of simultaneous damage detection and vibration control of a smart building structure experimentally. Karami et al 17 proposed a novel time-domain based semiactive tuned mass damper by integrating a real-time damage detection method with the semiactive control to mitigate vibrations in structures with nonlinear behavior.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart vibration control of structures with unknown structural parameters using integratedvirtual synchronization method/linear‐quadratic regulatorapproach

Ghaderi

Goshtaei

2020

Adv Control Appl

View full text Add to dashboard Cite

Although vibration control and health monitoring of structures have been treated separately in recent years, it will be beneficial to integrate these two systems and develop a smart structure with its own sensors, processors, and actuators. In this article, an integrated virtual synchronization method/linear‐quadratic regulator (VSM/LQR) approach for system identification and vibration control of structures with unknown physical parameters is proposed. First, based on the measured state of the structure, the unknown structural parameters are estimated using the VSM in a relatively short duration. The estimated parameters are then employed to determine optimal control forces for the purpose of the vibration control. The feasibility and effectiveness of the proposed approach are numerically examined through the time‐history analysis of two shear‐type frames with unknown stiffness coefficients. The results from the numerical investigation of the example structures demonstrate that the proposed method is effective in the vibration attenuation of structures with unknown parameters. Moreover, it was shown that the proposed VSM/LQR approach is more promising for addressing unknown structural parameters than the recursive least square method and conventional LQR method.

show abstract

“…[46][47][48][49][50][51][52] The implementation of the SATMDs has been advocated for the suppression of structural vibrations induced due to earthquake as well as wind excitations by researchers. For instance, Varadarajan and Nagarajaiah, [45] Kang et al, [44] and Deshmukh and Chandiramani [53] have proposed semi-active control algorithms for the wind response control of benchmark building using SATMD; whereas, the use of SATMDs for earthquake response control has been covered by researchers, such as Sun and Nagarajaiah [54] and Karami et al [55] Commonly, the SATMDs can have either variable damping or variable stiffness. Variable damping SATMDs have been investigated by many researchers including Setareh, [56] Runlin et al, [57] Kang et al, [44] and Sun and Nagarajaiah.…”

Section: Introductionmentioning

confidence: 99%

Energy‐based predictive algorithm for semi‐active tuned mass dampers

Zelleke

Matsagar

2019

Structural Design Tall Build

View full text Add to dashboard Cite

Summary There are various control strategies proposed and implemented for the protection of structures against different types of dynamic excitations. Currently, semi‐active control devices are very popular due to their adaptability and low power requirement. In this paper, a novel energy‐based predictive (EBP) algorithm is proposed, and its effectiveness is studied when applied to semi‐active tuned mass damper (SATMD). The mechanical energy of the primary structure is taken as the key parameter to be used by the algorithm to predict a suitable value of the manipulated variable, the damping of the tuned mass damper (TMD). The choice of the damping is made such that the damping used at a time interval leads to the least possible mechanical energy of the primary structure. The efficacy of the proposed control algorithm is studied by employing the EBP algorithm on single‐story and multistory structures equipped with the SATMD. The performance of the proposed algorithm when applied to the SATMD is also compared with that with the passive TMD for similar parameters. The results of the study show that the implementation of the EBP algorithm leads to significantly reduced dynamic response as compared with the passive TMD. Furthermore, numerical studies are conducted to gain insight into the effect of various parameters such as the mass ratio, the TMD damping ratio, and the flexibility of the structure.

show abstract

Nonlinear structural control using integrated DDA/ISMP and semi-active tuned mass damper

Cited by 32 publications

References 59 publications

An integrated damping system for tall buildings

An integrated damping system for tall buildings

Smart vibration control of structures with unknown structural parameters using integratedvirtual synchronization method/linear‐quadratic regulatorapproach

Energy‐based predictive algorithm for semi‐active tuned mass dampers

Contact Info

Product

Resources

About